{"title":"An Improved Genetic Algorithm for Solving Tri-level Programming Problems","authors":"Kai Su, Zhili Lei, H. Niu","doi":"10.1109/IAI55780.2022.9976878","DOIUrl":null,"url":null,"abstract":"When genetic algorithm is adopted to solve tri-level programming, many problems exist, such as controlling population size, jumping out of local optima, and avoiding low efficiency. An improved genetic algorithm with parallel strategy is proposed in this paper to solve tri-level programming, as well as elites reserving and fitness value crowding strategy. Simulations with numerical examples are done to prove correctness and effectiveness of the proposed algorithm.","PeriodicalId":138951,"journal":{"name":"2022 4th International Conference on Industrial Artificial Intelligence (IAI)","volume":"74 9","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2022-08-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2022 4th International Conference on Industrial Artificial Intelligence (IAI)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/IAI55780.2022.9976878","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
When genetic algorithm is adopted to solve tri-level programming, many problems exist, such as controlling population size, jumping out of local optima, and avoiding low efficiency. An improved genetic algorithm with parallel strategy is proposed in this paper to solve tri-level programming, as well as elites reserving and fitness value crowding strategy. Simulations with numerical examples are done to prove correctness and effectiveness of the proposed algorithm.
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